040294 UK Econometrics and Causal Inference (BA) (2018W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.09.2018 09:00 to Th 20.09.2018 12:00
- Deregistration possible until Mo 15.10.2018 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
03.10.
16:45 - 20:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
10.10.
16:45 - 20:00
Studierzone
Wednesday
17.10.
16:45 - 20:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
18.10.
15:00 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
07.11.
16:45 - 20:00
Studierzone
Wednesday
14.11.
16:45 - 20:00
Studierzone
Wednesday
21.11.
16:45 - 20:00
Studierzone
Friday
23.11.
13:15 - 16:30
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday
28.11.
16:45 - 20:00
Studierzone
Wednesday
05.12.
16:45 - 20:00
Studierzone
Wednesday
12.12.
16:45 - 20:00
Studierzone
Wednesday
09.01.
16:45 - 20:00
Studierzone
Wednesday
16.01.
16:45 - 20:00
Studierzone
Wednesday
23.01.
16:45 - 20:00
Studierzone
Wednesday
30.01.
16:45 - 20:00
Studierzone
Information
Aims, contents and method of the course
The aim of this course is to help you to understand modern applied econometric methods and to foster the skills needed to plan and execute your own empirical projects. Topics include randomized trials, regression, differences-in-differences, instrumental variables and regression-discontinuity designs. This is an “applied-empirical” course, meaning that priority will be given to concrete applications rather than to formal derivation of the econometrics methods used in the applications.
Assessment and permitted materials
Exam: 34%. Homework 33%. Presentation in class 33%.
Minimum requirements and assessment criteria
Assessment is based on one open-book exam, homework and a presentation in class.
Examination topics
All the material covered in class will be relevant for the exams.
Reading list
J. Angrist and J.S. Pischke, Mastering ‘Metrics: The Path from Cause to Effect, Princeton
University Press, 2014. http://masteringmetrics.com/
University Press, 2014. http://masteringmetrics.com/
Association in the course directory
Last modified: Mo 07.09.2020 15:29